Kemal Gokhan Nalbant, Yavuz Ozdemir, Omer Refik Inan
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Artificial neural networks: a brief literature review
There are thousands of studies in the literature on the use of artificial neural network methods in estimation problems. As in all issues, modeling is one of the essential processes for the solution of estimation problems. In order to make a good prediction, it is necessary to pay attention to the necessary rules. The more attention is paid to the estimation stages, the more accurate the assessment will be, and the results can be generalized. In this study, publications in the literature on artificial neural networks were examined. This work aims to explore the studies on artificial neural networks and emphasize their importance. It is also ofgreat importance to increase the number of studies in this field.
期刊介绍:
Journal of Management Information and Decision Sciences (JMIDS) is a reputed open access journal affiliated to Allied Business Academies. The journal focuses on disseminating the latest research in the field of management information system and its role in decision making, as well their relationships to cognate disciplines including Economics, Finance, Management, Management Science, Marketing, Statistics, Operations Research and Engineering. The journal adheres to stringent double blind peer review policy to maintain the publication quality.